Live-feeling communication: Multi-algorithm approach to the estimation of human Intentions

Martin Lukac, Michitaka Kameyama, Yevgeniya Migranova

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Live-feeling communication is a seamless process of intelligent system estimating user intention solely on passive user-to-robot communication of user emotions and body movements. In this paper we study the live-feeling communication in an entertainment framework; a real-time streaming event (football) is split into set of important and relevant scenes, and for each scene the user intention is estimated. For each scene the amount of desired details and the desired content is estimated. In order to obtain the best possible estimation result we predict the user intention for each scene using a set of different predictors by using a parameter search approach. We show that using the collected data certain situations can be estimated with accuracy of up to 95% while others are still beyond the reach of the used prediction algorithms.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2152-2157
Number of pages6
ISBN (Electronic)9781538616451
DOIs
Publication statusPublished - Nov 27 2017
Event2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017 - Banff, Canada
Duration: Oct 5 2017Oct 8 2017

Publication series

Name2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
Volume2017-January

Conference

Conference2017 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2017
CountryCanada
CityBanff
Period10/5/1710/8/17

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Human-Computer Interaction
  • Control and Optimization

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